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This study aims to determine and evaluate the artificial intelligence (AI) development and competitiveness of the top 20 countries that receive the highest number of tourists with the entropy technique for order of preference by similarity to the ideal solution (TOPSIS)-integrated method.

This study is based on Global AI Index data published by Tortoise Media. Based on this index, according to the World Tourism Organization (UNWTO) report, the top 20 destinations that will host the highest number of tourists in 2022 were evaluated in seven different subpillars, which are talent, infrastructure, operating environment, research, development, government strategy and commercial. These seven subpillars of the index were considered as criteria, and the top 20 tourist destinations were included in the research as decision alternatives.

The analysis results show that the three most important AI criteria are operating environment, infrastructure and government strategy. Furthermore, the first three countries with the best AI performance according to the weighted criteria were the USA, China and the UK, respectively.

Considering that AI technologies will direct tourist behavior in a world where technology is rapidly developing, it is recommended that the countries that receive the highest number of tourists improve their AI performance.

When the relevant literature is examined, there is a limited number of studies examining the AI development and competitiveness of the top tourist destinations and weighting the Global AI Index values. Therefore, this study contributes to the gap in the relevant literature.

This study aims to contribute to the relevant body of knowledge by examining the bibliometric studies related to tourism and hospitality indexed in the Web of Science (WoS) database from a bibliometric perspective (evaluative and relational techniques).

The WoS database was used to obtain studies to be reviewed. A total of 136 studies were analyzed and visualized in terms of evaluative and relational techniques, and a subject categorization was made.

“Tourism management” and “tourism and hospitality” are the two fields of research where bibliometric studies are carried out more frequently. Evaluative techniques were used in most studies while relational techniques, such as co-word, co-author, co-citation analysis and bibliographic coupling, were performed less. Relational techniques indicate that the words “bibliometric analysis” and “tourism” are frequently used together in the studies examined; the most common authorship cooperation is between China and USA.

This study provides an overview of bibliometric studies in tourism and hospitality literature. It expands the previous literature and shows study topics that are more focused by examining the abstracts and contents of articles published in journals in different WoS categories.

Findings related to evaluative and relational techniques can serve as useful information for researchers, who are new to the field.

This study contributes to the current knowledge accumulation by its lack of year, country, region and language limits.

This study provides insights on the perceptions of residents in destinations offering different tourism products at different levels of tourism development.

A total of 1,122 valid responses were gathered through surveys from the residents of three unique destinations, with different levels of tourism development. Non-parametric tests were performed since the data was gathered on an ordinal scale and not distributed normally.

The tourism perceptions of the residents formed a five-factor structure, namely “socioecological negative”, “socioeconomic positive”, “socioecological development (wellbeing)”, “negative perceptions of tourism” and “tendency to become visitor”. All dimensions except for “socioeconomic positive” differed significantly by destinations in terms of level of tourism development or type of tourism product offered.

Residents' perceptions of tourism differ based on different tourism products and different levels of tourism development of destinations. The residents of the most mature destinations in terms of tourism development have the most negative perceptions of tourism.

Although there are studies investigating how residents' perceptions differ based on the level of tourism development of destinations, this study, with its holistic approach, aims to provide insights on how residents' perceptions of tourism differ based on the tourism products offered by different destinations. The selected destinations differ from each other in both their level of tourism involvement and products they offer, hence the originality of the current study with its unique contribution to the related body of knowledge.